A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated Regression output is provided below: ANOVA               df SS MS F Significance F   Regression 1 492.528125 492.528125 10.65525634 0.046980871   Residual 3 138.671875 46.22395833       Total 4 631.2                         Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617 Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511   a. From the Excel-generated Regression output above, give the value of b0, the estimated y-intercept. Round off your answer to the fourth decimal place. b0 =____. b. From the Excel-generated Regression output above, give the value of b1 , the estimated slope. Round off your answer to the fourth decimal place. b1 =  _________

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A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated Regression output is provided below:

ANOVA            
  df SS MS F Significance F  
Regression 1 492.528125 492.528125 10.65525634 0.046980871  
Residual 3 138.671875 46.22395833      
Total 4 631.2        
             
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617
Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511

 

a. From the Excel-generated Regression output above, give the value of b0, the estimated y-intercept. Round off your answer to the fourth decimal place. b0 =____.

b. From the Excel-generated Regression output above, give the value of b1 , the estimated slope. Round off your answer to the fourth decimal place. b1 =  _________

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